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Fractional order modelling and identification for a phantom EEG system

Gildas Besancon 1 Guillaume Becq 2 Alina Voda 3
1 GIPSA-SYSCO [2007-2015] - GIPSA - Systèmes non linéaires et complexité
GIPSA-DA [2007-2015] - Département Automatique
2 GIPSA-Services [2016-2019] - GIPSA-Services
GIPSA-lab [2016-2019] - Grenoble Images Parole Signal Automatique [2016-2019]
3 GIPSA-SLR [2007-2015] - GIPSA - Systèmes linéaires et robustesse
GIPSA-DA [2007-2015] - Département Automatique
Abstract : This paper is about dynamical modelling of an electroencephalographic (EEG) measurement chain. It is based on a home-made experimental set-up consisting of an electrolytic medium, stimulated by external electrodes, the activity of which is measured at different points via other electrodes, connected to anelectroencephalographicrecordingdevice.Anovelnon-integer ordermodelstructureisthenestablishedwithaso-calledconstant phase element, and a Nyquist-based graphical method is derived to identify the non-integer order. The study is completed with a recursive identification method for full parameter estimation in the model, and various applications on experimental data are presented, finally resulting in a fully identified non integer order high pass filter.
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https://hal.archives-ouvertes.fr/hal-01978762
Contributor : Gildas Besancon <>
Submitted on : Friday, January 11, 2019 - 5:07:17 PM
Last modification on : Thursday, July 9, 2020 - 5:02:12 PM

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Gildas Besancon, Guillaume Becq, Alina Voda. Fractional order modelling and identification for a phantom EEG system. IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TCST.2019.2891621⟩. ⟨hal-01978762⟩

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